Xiang Gao

70 papers A* 18A 12Journal 35Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Scalable Large-Scale Multi-Granularity Code Clone Detection via Clustering Search and Pre-Trained Models.
IEEE Trans. Software Eng.
Yifan An, Yunlong Ma, Xiang Gao, Hailong Sun
2026 J jnl
Software Engineering for OpenHarmony: A Research Roadmap.
ACM Comput. Surv.
Li Li, Xiang Gao, Hailong Sun, Chunming Hu, Carolyn Sun, Haoyu Wang, Haipeng Cai, Ting Su, Xiapu Luo, Tegawendé F. Bissyandé, Jacques Klein, John C. Grundy, Tao Xie, Haibo Chen, Huaimin Wang
2025 J jnl
Agent That Debugs: Dynamic State-Guided Vulnerability Repair.
CoRR
Zhengyao Liu, Yunlong Ma, Jingxuan Xu, Junchen Ai, Xiang Gao, Hailong Sun, Abhik Roychoudhury
2025 A* conf
CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging.
ICML
Zongzhen Yang, Binhang Qi, Hailong Sun, Wenrui Long, Ruobing Zhao, Xiang Gao
2025 J jnl
CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging.
CoRR
Zongzhen Yang, Binhang Qi, Hailong Sun, Wenrui Long, Ruobing Zhao, Xiang Gao
2025 A conf
Code Property Graph Meets Typestate: A Scalable Framework to Behavioral Bug Detection.
ICSME
Xingjing Deng, Zhengyao Liu, Xitong Zhong, Shuo Hong, Yixin Yang, Xiang Gao, Xuhui Yan, Hailong Sun
2025 J jnl
Context-Enhanced Vulnerability Detection Based on Large Language Model.
CoRR
Yixin Yang, Bowen Xu, Xiang Gao, Hailong Sun
2025 J jnl
Dynamic Benchmark Construction for Evaluating Large Language Models on Real-World Codes.
CoRR
Zhe Zhang, Runlin Liu, Aishan Liu, Xingyu Liu, Xiang Gao, Hailong Sun
2025 A conf
Enhanced Vulnerability Localization: Harmonizing Task-Specific Tuning and General LLM Prompting.
ICSME
Wentong Tian, Yuanzhang Lin, Xiang Gao, Hailong Sun
2025 A conf
Enhancing Automated Vulnerability Repair Through Dependency Embedding and Pattern Store.
SANER
Qingao Dong, Yuanzhang Lin, Hailong Sun, Xiang Gao
2025 — conf
HapTest: The Dynamic Analysis Framework for OpenHarmony.
SIGSOFT FSE Companion
Farong Liu, Mingyi Zhou, Yakun Zhang, Ting Su, Bo Sun, Jacques Klein, Xiang Gao, Li Li
2025 J jnl
InfCode-C++: Intent-Guided Semantic Retrieval and AST-Structured Search for C++ Issue Resolution.
CoRR
Qingao Dong, Mengfei Wang, Hengzhi Zhang, Zhichao Li, Yuan Yuan, Mu Li, Xiang Gao, Hailong Sun, Chunming Hu, Weifeng Lv
2025 J jnl
InfCode: Adversarial Iterative Refinement of Tests and Patches for Reliable Software Issue Resolution.
CoRR
Kefan Li, Mengfei Wang, Hengzhi Zhang, Zhichao Li, Yuan Yuan, Mu Li, Xiang Gao, Hailong Sun, Chunming Hu, Weifeng Lv
2025 J jnl
LLM-based Unit Test Generation for Dynamically-Typed Programs.
CoRR
Runlin Liu, Zhe Zhang, Yunge Hu, Yuhang Lin, Xiang Gao, Hailong Sun
2025 J jnl
NeMo: A Neuron-Level Modularizing-While-Training Approach for Decomposing DNN Models.
CoRR
Xiaohan Bi, Binhang Qi, Hailong Sun, Xiang Gao, Yue Yu, Xiaojun Liang
2025 J jnl
OCLVerifer: Automated verification of OCL contracts in requirements models.
Sci. Comput. Program.
Peiye Yang, Li Zhang, Qin Li, Xiang Gao, Yilong Yang
2025 A* conf
UICOMPASS: UI Map Guided Mobile Task Automation via Adaptive Action Generation.
EMNLP
Yuanzhang Lin, Zhe Zhang, He Rui, Qingao Dong, Mingyi Zhou, Jing Zhang, Xiang Gao, Hailong Sun
2025 J jnl
Understanding vulnerabilities in software supply chains.
Empir. Softw. Eng.
Yijun Shen, Xiang Gao, Hailong Sun, Yu Guo
2025 J jnl
Use Property-Based Testing to Bridge LLM Code Generation and Validation.
CoRR
Lehan He, Zeren Chen, Zhe Zhang, Jing Shao, Xiang Gao, Lu Sheng
2024 A conf
API Misuse Detection via Probabilistic Graphical Model.
ISSTA
Yunlong Ma, Wentong Tian, Xiang Gao, Hailong Sun, Li Li
2024 A* conf
DynaMO: Protecting Mobile DL Models through Coupling Obfuscated DL Operators.
ASE
Mingyi Zhou, Xiang Gao, Xiao Chen, Chunyang Chen, John Grundy, Li Li
2024 J jnl
DynaMO: Protecting Mobile DL Models through Coupling Obfuscated DL Operators.
CoRR
Mingyi Zhou, Xiang Gao, Xiao Chen, Chunyang Chen, John C. Grundy, Li Li
2024 A* conf
Investigating White-Box Attacks for On-Device Models.
ICSE
Mingyi Zhou, Xiang Gao, Jing Wu, Kui Liu, Hailong Sun, Li Li
2024 J jnl
Investigating White-Box Attacks for On-Device Models.
CoRR
Mingyi Zhou, Xiang Gao, Jing Wu, Kui Liu, Hailong Sun, Li Li
2024 A conf
Investigating and Detecting Silent Bugs in PyTorch Programs.
SANER
Shuo Hong, Hailong Sun, Xiang Gao, Shin Hwei Tan
2024 A* conf
LLM-Based Java Concurrent Program to ArkTS Converter.
ASE
Runlin Liu, Yuhang Lin, Yunge Hu, Zhe Zhang, Xiang Gao
2024 J jnl
LLM-based Unit Test Generation via Property Retrieval.
CoRR
Zhe Zhang, Xingyu Liu, Yuanzhang Lin, Xiang Gao, Hailong Sun, Yuan Yuan
2024 A conf
Model-less Is the Best Model: Generating Pure Code Implementations to Replace On-Device DL Models.
ISSTA
Mingyi Zhou, Xiang Gao, Pei Liu, John Grundy, Chunyang Chen, Xiao Chen, Li Li
2024 J jnl
Model-less Is the Best Model: Generating Pure Code Implementations to Replace On-Device DL Models.
CoRR
Mingyi Zhou, Xiang Gao, Pei Liu, John C. Grundy, Chunyang Chen, Xiao Chen, Li Li
2024 — conf
ModelFoundry: A Tool for DNN Modularization and On-Demand Model Reuse Inspired by the Wisdom of Software Engineering.
SIGSOFT FSE Companion
Xiaohan Bi, Ruobing Zhao, Binhang Qi, Hailong Sun, Xiang Gao, Yue Yu, Xiaojun Liang
2024 A* conf
ModelGalaxy: A Versatile Model Retrieval Platform.
SIGIR
Wenling Zhang, Yixiao Li, Zhaotian Li, Hailong Sun, Xiang Gao, Xudong Liu
2024 A* conf
Modularizing while Training: A New Paradigm for Modularizing DNN Models.
ICSE
Binhang Qi, Hailong Sun, Hongyu Zhang, Ruobing Zhao, Xiang Gao
2024 — conf
Program Repair Competition 2024.
APR
Ridwan Shariffdeen, Yannic Noller, Martin Mirchev, Haifeng Ruan, Xiang Gao, Andreea Costea, Gregory J. Duck, Abhik Roychoudhury
2024 J jnl
ProveNFix: Temporal Property-Guided Program Repair.
Proc. ACM Softw. Eng.
Yahui Song, Xiang Gao, Wenhua Li, Wei-Ngan Chin, Abhik Roychoudhury
2024 A conf
Reducing False Positives of Static Bug Detectors Through Code Representation Learning.
SANER
Yixin Yang, Ming Wen, Xiang Gao, Yuting Zhang, Hailong Sun
2024 J jnl
Reusing Convolutional Neural Network Models through Modularization and Composition.
ACM Trans. Softw. Eng. Methodol.
Binhang Qi, Hailong Sun, Hongyu Zhang, Xiang Gao
2024 J jnl
Scalable Defect Detection via Traversal on Code Graph.
CoRR
Zhengyao Liu, Xitong Zhong, Xingjing Deng, Shuo Hong, Xiang Gao, Hailong Sun
2024 J jnl
Terahertz Empowered Vehicular Fog Computing: Opportunities, Feasibility, and Enhancements.
IEEE Wirel. Commun.
Chao Zhu, Xinlei Xie, Chuanfei Ding, Yihang Zhou, Xiang Gao, Jianping An
2023 A conf
AutoMRM: A Model Retrieval Method Based on Multimodal Query and Meta-learning.
CIKM
Zhaotian Li, Binhang Qi, Hailong Sun, Xiang Gao
2023 A* conf
Automated Fixing of Web UI Tests via Iterative Element Matching.
ASE
Yuanzhang Lin, Guoyao Wen, Xiang Gao
2023 A* conf
Automated Repair of Programs from Large Language Models.
ICSE
Zhiyu Fan, Xiang Gao, Martin Mirchev, Abhik Roychoudhury, Shin Hwei Tan
2023 A conf
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems.
ISSTA
Mingyi Zhou, Xiang Gao, Jing Wu, John C. Grundy, Xiao Chen, Chunyang Chen, Li Li
2023 J jnl
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems.
CoRR
Mingyi Zhou, Xiang Gao, Jing Wu, John Grundy, Xiao Chen, Chunyang Chen, Li Li
2023 J jnl
Modularizing while Training: a New Paradigm for Modularizing DNN Models.
CoRR
Binhang Qi, Hailong Sun, Hongyu Zhang, Ruobing Zhao, Xiang Gao
2023 J jnl
Reusing Convolutional Neural Network Models through Modularization and Composition.
CoRR
Binhang Qi, Hailong Sun, Hongyu Zhang, Xiang Gao
2023 A* conf
Reusing Deep Neural Network Models through Model Re-engineering.
ICSE
Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang, Zhaotian Li, Xudong Liu
2023 J jnl
Reusing Deep Neural Network Models through Model Re-engineering.
CoRR
Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang, Zhaotian Li, Xudong Liu
2023 J jnl
Software Engineering for OpenHarmony: A Research Roadmap.
CoRR
Li Li, Xiang Gao, Hailong Sun, Chunming Hu, Xiaoyu Sun, Haoyu Wang, Haipeng Cai, Ting Su, Xiapu Luo, Tegawendé F. Bissyandé, Jacques Klein, John C. Grundy, Tao Xie, Haibo Chen, Huaimin Wang
2022 J jnl
Improving automatically generated code from Codex via Automated Program Repair.
CoRR
Zhiyu Fan, Xiang Gao, Abhik Roychoudhury, Shin Hwei Tan
2022 A* conf
Patching Weak Convolutional Neural Network Models through Modularization and Composition.
ASE
Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang
2022 J jnl
Patching Weak Convolutional Neural Network Models through Modularization and Composition.
CoRR
Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang
2022 J jnl
Program Repair.
CoRR
Xiang Gao, Yannic Noller, Abhik Roychoudhury
2022 A conf
Program vulnerability repair via inductive inference.
ISSTA
Yuntong Zhang, Xiang Gao, Gregory J. Duck, Abhik Roychoudhury
2022 A* conf
Trust Enhancement Issues in Program Repair.
ICSE
Yannic Noller, Ridwan Shariffdeen, Xiang Gao, Abhik Roychoudhury
2021 J jnl
APIfix: output-oriented program synthesis for combating breaking changes in libraries.
Proc. ACM Program. Lang.
Xiang Gao, Arjun Radhakrishna, Gustavo Soares, Ridwan Shariffdeen, Sumit Gulwani, Abhik Roychoudhury
2021 A conf
Automated patch backporting in Linux (experience paper).
ISSTA
Ridwan Shariffdeen, Xiang Gao, Gregory J. Duck, Shin Hwei Tan, Julia Lawall, Abhik Roychoudhury
2021 J jnl
Beyond Tests: Program Vulnerability Repair via Crash Constraint Extraction.
ACM Trans. Softw. Eng. Methodol.
Xiang Gao, Bo Wang, Gregory J. Duck, Ruyi Ji, Yingfei Xiong, Abhik Roychoudhury
2021 J jnl
How to trust auto-generated code patches? A developer survey and empirical assessment of existing program repair tools.
CoRR
Yannic Noller, Ridwan Shariffdeen, Xiang Gao, Abhik Roychoudhury
2021 A* conf
Scalable Fuzzing of Program Binaries with E9AFL.
ASE
Xiang Gao, Gregory J. Duck, Abhik Roychoudhury
2020 A* conf
Binary rewriting without control flow recovery.
PLDI
Gregory J. Duck, Xiang Gao, Abhik Roychoudhury
2020 J jnl
Feedback-driven semi-supervised synthesis of program transformations.
Proc. ACM Program. Lang.
Xiang Gao, Shraddha Barke, Arjun Radhakrishna, Gustavo Soares, Sumit Gulwani, Alan Leung, Nachiappan Nagappan, Ashish Tiwari
2020 A* conf
Fuzz testing based data augmentation to improve robustness of deep neural networks.
ICSE
Xiang Gao, Ripon K. Saha, Mukul R. Prasad, Abhik Roychoudhury
2020 — conf
Interactive Patch Generation and Suggestion.
ICSE (Workshops)
Xiang Gao, Abhik Roychoudhury
2019 A conf
Crash-avoiding program repair.
ISSTA
Xiang Gao, Sergey Mechtaev, Abhik Roychoudhury
2019 — conf
EROFS: A Compression-friendly Readonly File System for Resource-scarce Devices.
USENIX ATC
Xiang Gao, Mingkai Dong, Xie Miao, Wei Du, Chao Yu, Haibo Chen
2018 A* conf
Android testing via synthetic symbolic execution.
ASE
Xiang Gao, Shin Hwei Tan, Zhen Dong, Abhik Roychoudhury
2018 A* conf
Repairing crashes in Android apps.
ICSE
Shin Hwei Tan, Zhen Dong, Xiang Gao, Abhik Roychoudhury
2018 J jnl
Test-Equivalence Analysis for Automatic Patch Generation.
ACM Trans. Softw. Eng. Methodol.
Sergey Mechtaev, Xiang Gao, Shin Hwei Tan, Abhik Roychoudhury
2017 J jnl
Partitioning Patches into Test-equivalence Classes for Scaling Program Repair.
CoRR
Sergey Mechtaev, Xiang Gao, Shin Hwei Tan, Abhik Roychoudhury
2016 A* conf
Write-back aware shared last-level cache management for hybrid main memory.
DAC
Deshan Zhang, Lei Ju, Mengying Zhao, Xiang Gao, Zhiping Jia